A CNN Based Rotation Invariant Fingerprint Recognition System

Tuba Celik MAYADAGLI; Ertugrul SAATCI; Rifat EDIZKAN

Makale detayları

A CNN Based Rotation Invariant Fingerprint Recognition System

Yazarlar:

Tuba Celik MAYADAGLI | Ertugrul SAATCI | Rifat EDIZKAN

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 2, pp.3471-3479

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000777799

Sıklık:

İki Yıllık

eISSN:

2619-9831

Özet:

 

This paper presents a Cellular
Neural Networks (CNN) based rotation invariant fingerprint recognition system
by keeping the hardware implementability in mind. Core point was used as a
reference point and detection of the core point was implemented in the CNN
framework. Proposed system consists of four stages: preprocessing, feature
extraction, false feature elimination and matching. Preprocessing enhances the
input fingerprint image. Feature extraction creates rotation invariant features
by using core point as a reference point. False feature elimination increases
the system performance by removing the false minutiae points. Matching stage
compares extracted features and creates a matching score. Recognition
performance of the proposed system has been tested by using high resolution
PolyU HRF DBII database. The results are very encouraging for implementing a
CNN based fully automatic rotation invariant fingerprint recognition system.

Makale detayları

A CNN Based Rotation Invariant Fingerprint Recognition System

Yazarlar: Tuba Celik MAYADAGLI | Ertugrul SAATCI | Rifat EDIZKAN

Yayıncı: İstanbul University-Cerrahpasa

Ana Başlıklar: Uygulamalı fizik

Dergi: IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 2, pp.3471-3479

Belge Tipi: Makale

Yayın Tarihi: 7/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000777799

Sıklık: İki Yıllık

eISSN: 2619-9831

Sayı

Yazarlar:

Tuba Celik MAYADAGLI | Ertugrul SAATCI | Rifat EDIZKAN

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

IU-Journal of Electrical & Electronics Engineering 2017 Vol.17 Issue 2, pp.3471-3479

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000777799

Sıklık:

İki Yıllık

eISSN:

2619-9831